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statistics-from-a-large-sample.py 735 Bytes
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# Time: O(n)
# Space: O(1)
import bisect
class Solution(object):
def sampleStats(self, count):
"""
:type count: List[int]
:rtype: List[float]
"""
n = sum(count)
mi = next(i for i in xrange(len(count)) if count[i]) * 1.0
ma = next(i for i in reversed(xrange(len(count))) if count[i]) * 1.0
mean = sum(i * v for i, v in enumerate(count)) * 1.0 / n
mode = count.index(max(count)) * 1.0
for i in xrange(1, len(count)):
count[i] += count[i-1]
median1 = bisect.bisect_left(count, (n+1) // 2)
median2 = bisect.bisect_left(count, (n+2) // 2)
median = (median1+median2) / 2.0
return [mi, ma, mean, median, mode]
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